Short Answer

Claude is expected to be the best AI at the end of 2026, supported by Claude Opus 5.5's strong performance in coding, agentic, and terminal benchmarks, and its leading rank on the Artificial Analysis Intelligence Index v4.3. The market prices this outcome at 74.3%, exceeding the model's 64.3%.

1. Market Behavior & Drivers

The market's primary move was driven by the release of Anthropic's Claude Opus 5.5 on September 22. The contract price rose from 69.9% to 73.9% around September 21, a shift accompanied by the highest trading volume in the period. This repricing reflects the model's strong initial performance, which immediately placed it in contention with OpenAI's GPT-6 Astra for the top position on key industry benchmarks.
Since that initial jump, the price has stabilized near 74.3%. This sideways movement is consistent with reports of a highly competitive environment where neither Anthropic nor OpenAI has established a durable lead. According to late September benchmark tracking from sources like the Artificial Analysis Intelligence Index and the LMSYS Chatbot Arena, Claude Opus 5.5 and GPT-6 Astra continue to trade the top spot. The market appears to be pricing in this neck-and-neck race, with the lack of a decisive advantage for either model capping further upside for the contract.
  • Since last update (~220d): Gemini's edge flipped as its market probability dropped 30.8pp (model down 27.2pp), led by the market.
  • Claude's model probability increased by 31.8pp and its market price rose 41.3pp, led by the market.
  • Confidence increased by 3.0pp, with Kimi added as a new outcome since the last report.
  • ChatGPT's model gained 4.6pp against a 1.8pp market drop, widening its model_led edge.
  • Claude Opus 5.5 leads key benchmarks, but regulatory action forced a June 2026 model suspension.
  • GPT-6 Astra frequently trades the top spot with Claude on the LMSYS Chatbot Arena.
  • Gemini is an underpriced contender, leveraging DeepMind talent and rapid Flash model releases.

Who Wins and Why

Outcome Market Model Why
Claude 74.3% 64.3% Claude Opus 5.5 leads or matches peers in key benchmarks, including the Artificial Analysis Intelligence Index.
ChatGPT 11.7% 17.9% GPT-6 Astra frequently trades the top spot with Claude on the LMSYS Chatbot Arena.
Gemini 7.7% 10.7% Analysts consider Gemini an underpriced contender with architectural and talent advantages, focusing on agentic workflows.
Grok 1.8% 2.2% Grok is not identified among the strongest end-2026 candidates on the settlement source.
Muse Spark 2.0% 2.5% The AI evaluation landscape is shifting, potentially disrupting established rankings for current top models.

Current Context

Frontier AI models demonstrate intense competition, with Anthropic currently favored by markets. As of late September 2026, Anthropic's Claude Opus 5.5 and OpenAI's GPT-6 Astra frequently trade the top spot on major benchmarks, including the Artificial Analysis Intelligence Index and the LMSYS Chatbot Arena [1][2][3][4]. Opus 5.5, released September 22, 2026, has shown strong performance, leading or matching peers in coding, agentic, and terminal benchmarks, while GPT-6 Astra maintains high scores in multimodal understanding and reasoning [5][1][2]. Prediction markets like Polymarket and Coinbase overwhelmingly favor Anthropic to hold the top-ranked model by December 31, 2026, with implied probabilities ranging from 67% to 74% [6][7][8][9]. Some analysts suggest Google, with Gemini, remains an underpriced contender due to architectural advantages, the DeepMind talent pool, and TPU-based compute stacks [6][9].
Defining a singular "best AI" is difficult given evolving evaluation challenges. A defensible answer for December 31, 2026, cannot identify one universally "best" AI, as frontier-model leaderboards are increasingly compressed, benchmark succession alters measured progress, and evaluation methods are becoming harder to rely on [10][11][12]. While leading closed frontier systems from OpenAI, Anthropic, and Google are likely the strongest candidates for general reasoning and adaptive agency by year-end, ARC-AGI-3 reported humans solving 100% of its environments in March 2026, while frontier systems scored below 1%, indicating broad autonomous intelligence remained unsolved [10][13]. Expert forecasting does not support treating Artificial General Intelligence (AGI) as a settled 2026 outcome, with expert central estimates generally pointing to the 2030s [14][15]. Prediction market performance is not a reliable standalone proxy for "best AI"; for example, Prediction Arena found six frontier models lost 16.0%–30.8% on live Kalshi trading, and other results varied sharply across platforms [16][17][18].
A tiered leadership across domains is the most practical forecast. The best practical forecast for December 31, 2026, involves expecting a tier of leaders rather than a single winner [10][11][19][12][13][20]. This tier would likely include one or more frontier models leading on coding or agentic tasks, another on multimodal or science workflows, and open models competitive on cost and customization [10][11][19][12][13][20]. Evaluation should prioritize dated, reproducible task suites, reliability, tool-use completion, safety, and real-world outcomes over marketing or singular benchmarks [10][11][19][12][13][20]. The most consequential science-and-technology development by year-end may be AI-augmented research rather than a single model release [20][12]. A September 2026 study involving 15 million Gemini interactions and over 600 scientists reported nearly half of scientists use AI daily, saving nearly seven hours per week, though verification bottlenecks are growing [20]. Expert forecasts from early 2026 predicted steady benchmark progress, including a median expectation of a 24-hour METR 50% time horizon by the end of 2026 [21]. No retrieved source establishes an authoritative prediction-market contract resolving specifically to "best AI" on December 31 [10][11][14][16][18].
Sources (21)
  1. 1AI Model & Benchmark Watch — September 25, 2026 · Newslibrary.mikesailab.com
  2. 2LLM Monthly Leaderboard — 2026-09 | 派宝paibao.ai
  3. 3xbench Leaderboard Update (Sept 2026): GPT-6 Astra Closes In on the Human Baselinexbench.substack.com
  4. 4AI is rewriting the rules of testing: Astra overtakes Claude at the top of the Index - Il Sole 24 OREen.ilsole24ore.com
  5. 5LLM leaderboard 2026: who leads, and how to read the rankings | BenchLeaderbenchleader.com
  6. 6Which company has best AI model end of 2026?polymarket.com
  7. 7https://polymarket.com/event/which-company-has-best-ai-model-end-of-2026?r=kooespolymarket.com
  8. 8https://polymarket.com/event/which-company-has-best-ai-model-end-of-2026polymarket.com
  9. 9Best AI Model End 2026 Odds | Polymarket & Kalshipredictmarketcap.com
  10. 10The Growing Pains of Frontier Models:When Leaderboards Stop Separating and What to Measure Nextarxiv.org
  11. 11Frontier AI Forecasting Has a Measurement Problem: An Audit of Progress Evidencearxiv.org
  12. 12[2606.15708] Artificial Intelligence Index Report 2026arxiv.org
  13. 13https://arxiv.org/pdf/2603.24621arxiv.org
  14. 14Artificial General Intelligence Forecasting and Scenario Analysis: State of the Field, Methodological Gaps, and Strategic Implicationsarxiv.org
  15. 15[2608.14611v1] The 2026 Singapore Consensus on Global AI Safety Research Prioritiesarxiv.org
  16. 16Prediction Arena: Benchmarking AI Models on Real-World Prediction Marketsarxiv.org
  17. 17https://arxiv.org/pdf/2604.14199arxiv.org
  18. 18TimeSeek: Temporal Reliability of Agentic Forecastersarxiv.org
  19. 19[2602.21012] International AI Safety Report 2026arxiv.org
  20. 20AI in Science: Early Insightsarxiv.org
  21. 21AI predictions for 2026 — EA Forumforum.effectivealtruism.org

2. Price Chart

Historical Price (Probability)

Outcome probability
Date

3. Market Data

Contract Snapshot

This market predicts which AI will be considered the 'Best AI' at the end of 2026. A YES resolution for a specific AI occurs if it is deemed the best by December 31, 2026, while a NO resolution occurs if it is not. Trading begins on December 31 at 8:00 am EST, and the maximum payout and final resolution are expected by December 31, 2026, though the specific criteria for 'Best AI' are not detailed.

Available Contracts

Market options and current pricing

Outcome bucket Yes (price) No (price) Last trade probability
Claude $0.74 $0.26 74%
ChatGPT $0.12 $0.89 12%
Gemini $0.08 $0.92 8%
Muse Spark $0.02 $0.98 2%
Grok $0.02 $0.99 2%
Kimi $0.01 $1.00 1%
Qwen $0.01 $0.99 1%
Ernie $0.00 $1.00 0%

Market Discussion

As of September 26–28, 2026, prediction markets indicate Anthropic is the clear favorite to have the best AI/LLM by year-end, holding approximately 65-74% odds across various platforms, largely attributed to its sustained Arena leadership [1][2][3][4][5][3][6]. OpenAI, xAI, and Google are identified as the principal challengers, though their exact odds vary significantly between different market snapshots [1][5][2][3][4]. While these markets typically resolve based on Arena/LM Arena text leaderboard performance on December 31, 2026, independent benchmark aggregators show a more nuanced landscape with narrow gaps between top models, and rapid capability growth is expected through late 2026, suggesting potential for new contenders to emerge [5][2][7][3][8][9][10][11][12][13][14][15].

Sources (15)
  1. 1Best AI at the end of 2026? Odds & Predictionskalshi.com
  2. 2Best AI at the end of 2026? | Prediction Markets | Coinbasecoinbase.com
  3. 3Best AI Model of 2026 Odds: Who Will Be #1 at Year-End?defirate.com
  4. 4Best AI Model End 2026 Odds | Polymarket & Kalshipredictmarketcap.com
  5. 5https://polymarket.com/event/which-company-has-best-ai-model-end-of-2026?r=kooespolymarket.com
  6. 6https://polymarket.com/event/which-company-has-best-ai-model-end-of-2026/will-meta-have-the-best-ai-model-at-the-end-of-december-2026polymarket.com
  7. 7Best AI Model 2026 Odds: Anthropic vs OpenAI vs Google | Prediction Geniuspredictiongenius.io
  8. 8LLM leaderboard 2026: who leads, and how to read the rankings | BenchLeaderbenchleader.com
  9. 9AI Model Rankings 2026: Live LLM Leaderboard | ModelCapmodelcap.ai
  10. 10Best AI Models in 2026 — Overall Rankingsbenchlm.ai
  11. 11LLM Leaderboard & Benchmarks — September 2026 — Vector Wirevectorwire.ai
  12. 12LLM Leaderboard 2026: top AI models ranked | BenchLeaderbenchleader.com
  13. 13Forecasting Frontier Language Model Agent Capabilitiesarxiv.org
  14. 14https://arxiv.org/pdf/2512.00193arxiv.org
  15. 15Prescriptive Scaling Reveals the Evolution of Language Model Capabilitiesarxiv.org

4. Trust Index

Octagon Trust Index Kalshi 78 Good

Largest single print on KXLLM1-26DEC31-GOOG carried 62% of its $4,824 tape (window is 28% of 24h flow)

Integrity risk· Large trades

How it adds up
Integrity80% of score80Good
Trade quality20% of score67Caution

Includes the cost to trade: a $1,000 order can't be filled here because the order book is too thin.

Trust score78Good

Weighted blend with hard caps — a critically weak safety pillar, or a severe trading anomaly, caps the total regardless of the rest. Full methodology · About the Trust Index

Trust profile
Integrity4 screens run · 6 don't apply
Market integrity
72Good

Outcome is hard to influence

Large tradesTrade signals · medium confidence

Largest single print on KXLLM1-26DEC31-GOOG carried 62% of its $4,824 tape (window is 28% of 24h flow)

Screened clean
Thin-volume movesNo significant move Clear
Size patternsNo distribution read Clear
2 screens not run
Outcome control · doesn't apply to this market type
Thin-leg conviction · doesn't apply to this market type
Info fairness
80Good

Structural prior — no screens apply

No suspicious activity on any screen

Screened clean
Information exposureNo concentrated group can know the outcome materially early. Clear
4 screens not run
Move vs. catalyst · doesn't apply to this market type
Longshot repricing · doesn't apply to this market type
Pre-broadcast certainty · doesn't apply to this market type
Cross-venue timing · doesn't apply to this market type
Resolution quality
92Strong

Resolution mechanism is dependable

No suspicious activity on any screen

Resolution rules read: Clear

Liquidity
84Deep

Size fills near the screen price

8 contracts · worst first

Ernie5
Very thin · low confidence

Light recent trading — size may not fill near the screen price.

Muse13
Very thin · low confidence

Light recent trading — size may not fill near the screen price.

Qwen59
Thin · low confidence

Light recent trading — size may not fill near the screen price.

Grok60
Tradeable · low confidence

Light recent trading — size may not fill near the screen price.

Kimi65
Tradeable · low confidence

Light recent trading — size may not fill near the screen price.

ChatGPT81
Deep · low confidence

Light recent trading — size may not fill near the screen price.

Claude84
Deep · high confidence

Typical bar range 2.4% of price over 23 traded bars

24h traded notional $7,908 · 24h
Gemini88
Deep · high confidence

Typical bar range 0.7% of price over 24 traded bars

24h traded notional $17,219 · 24h
Book spread 0% vs realized 1%
Move quality
70Stable

No significant moves

8 contracts · worst first

Gemini—
No significant move (6h)

Price was stable over the last 6 hours.

Claude—
No significant move (6h)

Price was stable over the last 6 hours.

ChatGPT—
No significant move (6h)

Price was stable over the last 6 hours.

Grok—
No significant move (6h)

Price was stable over the last 6 hours.

Muse—
No significant move (24h)

Price was stable over the last 24 hours.

Kimi—
No significant move (24h)

Price was stable over the last 24 hours.

Qwen—
No significant move (24h)

Price was stable over the last 24 hours.

Ernie—
No significant move (24h)

Price was stable over the last 24 hours.

Rule clarity
100Clear

Counts toward Resolution quality, not here

8 contracts · worst first

Gemini100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Claude100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
ChatGPT100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Grok100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Muse100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Kimi100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Qwen100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Ernie100
Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Trade quality
67Caution

Order book is thin

Tradable, but expect execution cost beyond small sizes.

Outcome quality 85 (notional-weighted across 8 scored legs)

$100 order: 0.1c slippage (~50% of a 0.2c contract)

$1,000 order: book too thin to fill

$10,000 order: book too thin to fill

Gemini88Market scoreLiquidity88Move quality–Rule clarity100
Why 88
Liquidity
88 · Deep · high confidence

Typical bar range 0.7% of price over 24 traded bars

24h traded notional $17,219 · 24h
Book spread 0% vs realized 1%
Move quality
No significant move (6h)

Price was stable over the last 6 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Claude84Market scoreLiquidity84Move quality–Rule clarity100
Why 84
Liquidity
84 · Deep · high confidence

Typical bar range 2.4% of price over 23 traded bars

24h traded notional $7,908 · 24h
Move quality
No significant move (6h)

Price was stable over the last 6 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
ChatGPT81Market scoreLiquidity81Move quality–Rule clarity100
Why 81
Liquidity
81 · Deep · low confidence

Light recent trading — size may not fill near the screen price.

Move quality
No significant move (6h)

Price was stable over the last 6 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Grok60Market scoreLiquidity60Move quality–Rule clarity100
Why 60
Liquidity
60 · Tradeable · low confidence

Light recent trading — size may not fill near the screen price.

Move quality
No significant move (6h)

Price was stable over the last 6 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Muse13Market scoreLiquidity13Move quality–Rule clarity100
Why 13
Liquidity
13 · Very thin · low confidence

Light recent trading — size may not fill near the screen price.

Move quality
No significant move (24h)

Price was stable over the last 24 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Kimi65Market scoreLiquidity65Move quality–Rule clarity100
Why 65
Liquidity
65 · Tradeable · low confidence

Light recent trading — size may not fill near the screen price.

Move quality
No significant move (24h)

Price was stable over the last 24 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Qwen59Market scoreLiquidity59Move quality–Rule clarity100
Why 59
Liquidity
59 · Thin · low confidence

Light recent trading — size may not fill near the screen price.

Move quality
No significant move (24h)

Price was stable over the last 24 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear
Ernie5Market scoreLiquidity5Move quality–Rule clarity100
Why 5
Liquidity
5 · Very thin · low confidence

Light recent trading — size may not fill near the screen price.

Move quality
No significant move (24h)

Price was stable over the last 24 hours.

Rule clarity
100 · Clear · high confidence

All checks pass

objective outcome · Clearofficial source · Cleartime boundary · Clear

underwriting_v1.4 · computed Nov 6, 2026

5. What potential breakthroughs in AI evaluation or new flagship benchmarks could emerge in late 2026 and re-order the model rankings?

Evaluation Focus ShiftAgentic capabilities and human-vetted benchmarks like Humanity's Last Exam (HLE) and SWE-bench Verified (late 2026) [1][2]
Benchmark Performance ExpectationHigh performance thresholds on SWE-bench Verified expected by end of 2026 [1][2]
New Evaluation TrendProprietary and specialized evaluation frameworks prioritizing production consistency, safety, and autonomous agent performance [3]
AI evaluation is shifting towards agentic capabilities and human-vetted benchmarks. The AI evaluation landscape is expected to significantly evolve by late 2026, increasingly emphasizing agentic capabilities and rigorous, human-vetted benchmarks. Flagship evaluations like Humanity's Last Exam (HLE) and SWE-bench Verified are gaining prominence [1][2]. While current models still encounter difficulties with complex tasks that demand multi-step reasoning and autonomous code resolution, it is projected that by the close of 2026, AI will achieve or closely approach high performance thresholds, such as 95% or higher, on benchmarks like SWE-bench Verified [1][2].
Industry concerns drive a shift to specialized evaluation frameworks. This evolution is primarily fueled by growing industry apprehension regarding the reliability of existing leaderboards, such as Chatbot Arena and other general LLM indexes. These platforms are perceived to suffer from statistical noise and inconsistencies due to varied evaluation methodologies [3]. Consequently, a pronounced trend is emerging towards proprietary and specialized evaluation frameworks that prioritize production consistency, safety, and the performance of autonomous agents. This approach de-emphasizes aggregate leaderboard scores, creating potential for a re-ordering of current model rankings [3].
Sources (3)
  1. 1In what year will AI achieve a score of 95% or higher on the SWE-bench Verified benchmark? - Manifold Markets Odds | CoinRithmcoinrithm.com
  2. 2In what year will AI achieve a score of 95% or higher on the SWE-bench Verified benchmark? - Manifold Markets Quoten | CoinRithmcoinrithm.com
  3. 3How to evaluate an LLM in 2026: the field guide I wish I'd...medium.com

6. What specific benchmark data underpins the market consensus favoring Anthropic's Claude as the leading model by year-end 2026?

Prediction Market Probability (Claude)60-72% (late September 2026) [1][2][3]
Claude Fable 5.1 Terminal-Bench 2.1 Score91.4% [4]
Claude Opus 5.5 Humanity's Last Exam Score61.4% [5]
Prediction markets highly favor Anthropic's Claude as leading AI by 2026. As of late September 2026, these markets consistently assign probabilities ranging from 60% to 72% for Anthropic's Claude to be recognized as the "Best AI at the end of 2026" [1][2][3]. This strong market confidence is further supported by the model's notable performance across key independent benchmarks. The resolution of these prediction markets is contingent upon which model holds the top rank on the LM Arena Leaderboard by the conclusion of 2026 [2][3][6].
Specific benchmark data highlights Claude's strong competitive performance. Claude's impressive results on major independent benchmarks, monitored by Artificial Analysis, underscore the market's perception of its leadership [4][5][7]. For instance, Claude Fable 5.1 achieved a score of 91.4% on Terminal-Bench 2.1 [4]. Additionally, Claude Opus 5.5 scored 61.4% on Humanity's Last Exam [5]. The Artificial Analysis Intelligence Index v4.3, a comprehensive composite benchmark, also designated Claude Fable 5.1 as the top-ranked model as of September 2026, reinforcing Anthropic's perceived robust position in the AI landscape [7].
Sources (7)
  1. 1Best AI at the end of 2026? Odds & Predictionskalshi.com
  2. 2Best AI at the end of 2026? | Prediction Markets | Coinbasecoinbase.com
  3. 3December 31, 2026: Best AI at the end of 2026? Prediction Marketrobinhood.com
  4. 4Terminal-Bench 2.1 Benchmark Leaderboardartificialanalysis.ai
  5. 5Humanity's Last Exam Benchmark Leaderboardartificialanalysis.ai
  6. 6Top Coding AI this month (Arena.ai) - Kalshi Odds | CoinRithmcoinrithm.com
  7. 7AA Intelligence Index v4.3 - Benchmarksdatalearner.com

7. How do Anthropic's Claude Opus 5.5 and OpenAI's GPT-6 Astra compare on benchmarks for agentic coding versus multimodal reasoning?

GPT-6 Astra Terminal-Bench 4.057.9% [1]
GPT-6 Astra ARC-AGI-399.9% [1]
Prediction Market Claude probability (end 2026)65% [2][3][4]
Both models demonstrate strong performance in agentic coding and visual reasoning benchmarks. Anthropic's Claude Opus 5.5 represents a significant capability upgrade over its predecessor, Claude Opus 5, achieving state-of-the-art results on several benchmarks including Terminal-Bench 4.0, CursorBench, GDPval-AA, and AA-Briefcase. These results indicate notable improvements in agentic coding, visual reasoning, and general computer use [5]. However, specific numerical scores for Claude Opus 5.5 are not provided in the available information, preventing direct quantitative comparisons with other models. OpenAI's GPT-6 Astra, a leading model for software engineering, reports strong performance across various benchmarks, achieving 57.9% on Terminal-Bench 4.0, 74.1% on DeepSWE v1.1, and an impressive 99.9% on ARC-AGI-3. These scores represent a substantial improvement over previous models such as GPT-5.6 Sol [1]. While both models exhibit strong capabilities in areas like Terminal-Bench 4.0 and visual reasoning, a direct numerical comparison between Claude Opus 5.5 and GPT-6 Astra is not possible with the current data.
Prediction markets currently favor Claude as the top-ranked LLM by 2026. Looking ahead to the end of 2026, prediction markets, specifically Kalshi, indicate a preference for Anthropic's Claude to be the top-ranked large language model. Probability estimates suggest approximately a 65% chance for Claude, while OpenAI's ChatGPT is estimated at about 24% [2][3][4].
Sources (5)
  1. 1GPT-6 Astra: A new generation of intelligence | OpenAIopenai.com
  2. 2Best AI at the end of 2026? Odds & Predictionskalshi.com
  3. 3Best AI at the end of 2026? | Prediction Markets | Coinbasecoinbase.com
  4. 4December 31, 2026: Best AI at the end of 2026? Prediction Marketrobinhood.com
  5. 5Claude Opus 5.5 System Cardwww-cdn.anthropic.com

8. What are the most reliable, consistently updated public leaderboards for tracking frontier AI model performance through Q4 2026?

LMArena Models EvaluatedOver 400 public models, 300 pre-release tests by April 2025 [1][2][3]
Artificial Analysis Models RankedOver 250 models [4][5]
Market Settlement DateDecember 31, 2026, 12:00 PM ET [6][7][1][2]
The most reliable public leaderboards for tracking frontier AI model performance through Q4 2026 are LMArena/Chatbot Arena’s Text Arena and the Artificial Analysis LLM Leaderboard [6][7][1][2][4][5]. These platforms offer complementary views: LMArena provides robust real-world preference tracking, while Artificial Analysis delivers a quantitative perspective on standardized capabilities and operational metrics [1][2][3][4][8]. These leaderboards are considered key resources for monitoring advanced AI models through the specified period.
LMArena’s Text Arena offers crucial real-world preference tracking for frontier AI models. This platform serves as the primary resolution source for a specific prediction market, with performance to be checked on December 31, 2026, at 12:00 PM ET [6][7][1][2]. Its strength lies in its methodology, where users compare anonymized model answers, and their votes are aggregated into a ranking. By April 2025, LMArena had evaluated over 400 public models and 300 pre-release tests, facilitating tens of millions of battle pairings [1][2][3]. However, it is important to note that while the Arena captures broad human preference, its results can be sensitive to factors such as prompt mix, voter population, and presentation effects, meaning small rank or score differences should be interpreted with caution [8][9].
Artificial Analysis provides essential quantitative data on model performance and cost metrics. This leaderboard functions as the strongest complementary quantitative tracker, ranking over 250 models across various metrics. These include intelligence, price, output speed, latency, and context window, aggregating standardized capability and operational data [4][5][8]. For comprehensive monitoring through Q4 2026, a recommended strategy involves checking LMArena Text Arena for market settlement, cross-referencing Artificial Analysis for standardized intelligence, price, and speed metrics, and consulting modality or task-specific boards as needed [1][4]. It is also recognized that no single leaderboard can comprehensively measure the "best AI" [8][1][4].
Sources (9)
  1. 1Chatbot Arena Leaderboard Updates (Week 8)lmarena.ai
  2. 2Celebrating Community Impact at LMArenanews.lmarena.ai
  3. 3AI's Great Flattening: What Happens when Everyone Is...interactivebrokers.com
  4. 4LLM Leaderboard - Comparison of AI models from OpenAI, Anthropic, Google, SpaceXAI & others | Artificial Analysisartificialanalysis.ai
  5. 5Which company has the best LLM at the end of 2026? (Artificial analysis leaderboard) - Manifold Markets Odds | CoinRithmcoinrithm.com
  6. 6Which company has best AI model end of 2026? — Compare Odds on 4 Platforms | CoinRithmcoinrithm.com
  7. 7Which company has best AI model end of 2026? · Anthropic 71% — Polymarket oddspdata.world
  8. 8Forecasting Frontier Language Model Agent Capabilitiesarxiv.org
  9. 9LMArena Elo Explained: 5 Failure Modes Every Enterprise...swfte.com

9. What evidence supports the argument that Google's Gemini is an underpriced contender for the top spot by the end of 2026?

Prediction market probability (end of 2026)7-22% (September 2026) [1][2][3]
Gemini app monthly active users1 billion (August 2026) [4][5]
Flash model versions released3.5, 3.6, 3.7, 3.8 (throughout 2026) [6][1][2][7][3]
Gemini is an underpriced contender with significant potential for future dominance. Google's Gemini is currently perceived as an underpriced contender in the AI landscape, despite its probability in the "Best AI at the end of 2026" prediction market standing at a modest 7-22% as of September 2026 [1][2][3]. This perception persists even with consistent updates to its Flash model series throughout 2026, suggesting that its strategic emphasis on crucial performance areas and its extensive user adoption could position it for a stronger conclusion to the year.
Google's strategy leverages rapid model updates and vast user adoption. Google's 2026 strategy for Gemini has prioritized rapid, iterative releases of its 'Flash' model line, including versions 3.5, 3.6, 3.7, and 3.8 [6][1][2][7][3]. This approach focuses on achieving high performance in agentic workflows, long-horizon coding tasks, and cost-efficiency, aiming to drive significant enterprise and developer adoption. Further showcasing its potential, the Gemini app achieved 1 billion monthly active users by August 2026 [4][5]. This massive distribution and deep ecosystem integration are considered crucial elements for achieving potential late-year dominance in the artificial intelligence landscape.
Sources (7)
  1. 1Introducing Gemini 3.8 Flash and 3.8 Flash Cyberblog.google
  2. 23.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyberblog.google
  3. 3What’s new in Managed Agents in Gemini APIblog.google
  4. 4Google’s Gemini app hits 1 billion monthly active usersblog.google
  5. 5The Gemini app becomes more agentic, delivering proactive, 24/7 helpblog.google
  6. 6Gemini 3.5: frontier intelligence with actionblog.google
  7. 7Introducing computer use in Gemini 3.5 Flashblog.google

10. What Could Change the Odds

Key Catalysts

The regulatory landscape presents several catalysts. The U.S. Commerce Department order on June 12, 2026, compelled Anthropic to suspend its Fable 5 and Mythos 5 models for 19 days, establishing export controls as a model-level tool [1][2]. Concurrently, the EU AI Act began full enforcement starting August 2, 2026 [1][2]. Further, the FCC is managing regulatory tension regarding AI-enabled space infrastructure, including accepting SpaceX's orbital data center applications for public comment and pursuing new rulemakings to increase spectrum availability for orbital labs and in-space repairs [3][4][5][6].
Competition in AI model development and architectural shifts also act as catalysts. Prediction markets, as of late September 2026, favor Anthropic (74% probability) to have the best AI model by December 31, 2026, driven by Claude Opus 5.5 performance [7]. Key model release expectations for late 2026 include iterations of Google's Gemini (3.8+, 3.9+) and Anthropic's Fable and Opus lines [8][9]. OpenAI is focusing on advancements in agents and reasoning models rather than immediate AGI declarations, which prediction markets estimate at a low ~9% probability for 2026 [8][9]. Predictions for late 2026 also suggest a focus on 'agentic' workflows, where models function as autonomous research or coding assistants, with key performance metrics shifting toward METR time-horizon benchmarks (targeting 24 hours) and standardized, domain-specific evaluations [10][11].

Key Dates & Catalysts

  • Expiration: January 31, 2027
  • Closes: December 31, 2026
Sources (11)
  1. 1The Complete 2026 AI Timeline: Every Major Model Release, Shutdown, and Shift Tracked - LA Tech Postlatechpost.com
  2. 22026 in artificial intelligence — Edgepediaedgechat.ai
  3. 3DA-26-113A1.txtdocs.fcc.gov
  4. 4FCC-26-13A1.txtdocs.fcc.gov
  5. 5FCC Plan for Reliable Spectrum Access for Cutting-Edge Space Missions | Federal Communications Commissionfcc.gov
  6. 6DA-26-398A1.txtdocs.fcc.gov
  7. 7Which company has best AI model end of 2026?polymarket.com
  8. 8AI Model Release Timeline — Prediction Market Forecastsmatthewlloyd.github.io
  9. 9When The Model Drops — AI release-date forecasts from prediction marketswhenthemodeldrop.com
  10. 10AI predictions for 2026 — EA Forumforum.effectivealtruism.org
  11. 11Predictions for 2026 - prinzprinzai.com

12. Related News

+5.0pp
Last updated: September 28, 2026, 07:01 UTC

Google's Gemini 3.5 Launch Spurs Odds Shift in 'Best AI' Race

The release of Google's Gemini 3.5 model series on May 19, 2026, has catalyzed a significant repricing in the market for the "Best AI at the end of 2026," with traders increasing the implied probabili...

13. Historical Resolutions

Historical Resolutions: 20 markets in this series

Outcomes: 2 resolved YES, 18 resolved NO

Recent resolutions:

  • KXLLM1-26SEP21-XAI: NO (Sep 21, 2026)
  • KXLLM1-26SEP21-OPEN: NO (Sep 21, 2026)
  • KXLLM1-26SEP21-MOON: NO (Sep 21, 2026)
  • KXLLM1-26SEP21-META: NO (Sep 21, 2026)
  • KXLLM1-26SEP21-GOOG: NO (Sep 21, 2026)